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Halim, Miah A.,Park, Jae Y. American Institute of Physics 2014 Journal of Applied Physics Vol.115 No.9
<P>We present a non-resonant, frequency up-converted electromagnetic energy harvester that generates significant power from human-body-induced vibration, e. g., hand-shaking. Upon excitation, a freely movable non-magnetic ball within a cylinder periodically hits two magnets suspended on two helical compression springs located at either ends of the cylinder, allowing those to vibrate with higher frequencies. The device parameters have been designed based on the characteristics of human hand-shaking vibration. A prototype has been developed and tested both by vibration exciter (for non-resonance test) and by manual hand-shaking. The fabricated device generated 110 mu W average power with 15.4 mu W cm(-3) average power density, while the energy harvester was mounted on a smart phone and was hand-shaken, indicating its ability in powering portable hand-held smart devices from low frequency (<5 Hz) vibrations. (C) 2014 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 Unported License.</P>
Halim Lee,Ali A. Abdallah,Jongmin Park,Jiwon Seo,Zaher M. Kassas 제어로봇시스템학회 2020 제어로봇시스템학회 국제학술대회 논문집 Vol.2020 No.10
A neural network (NN)-based approach for indoor localization via cellular long-term evolution (LTE) signals is proposed. The approach estimates, from the channel impulse response (CIR), the range between an LTE eNodeB and a receiver. A software-defined radio (SDR) extracts the CIR, which is fed to a long short-term memory model (LSTM) recurrent neural network (RNN) to estimate the range. Experimental results are presented comparing the proposed approach against a baseline RNN without LSTM. The results show a receiver navigating for 100 m in an indoor environment, while receiving signals from one LTE eNodeB. The ranging root-mean squared error (RMSE) and ranging maximum error along the receiver’s trajectory were reduced from 13.11 m and 55.68 m, respectively, in the baseline RNN to 9.02 m and 27.40 m, respectively, with the proposed RNN-LSTM.
Halim, Miah A.,Cho, Hyunok,Salauddin, Md.,Park, Jae Y. Elsevier Sequoia 2016 Sensors and actuators. A Physical Vol.249 No.-
<P><B>Abstract</B></P> <P>We present a miniaturized electromagnetic energy harvester (EMEH) that uses two flux-guided magnet stacks to harvest energy from common human-body-induced motions such as hand-shaking, walking, and slow running. We designed each magnet stack to increase the flux density within a given size of the harvester component, by guiding the flux lines through soft magnetic material and designed the miniaturized EMEH to up-convert the low-frequency vibration generated by human-body-induced motion to a high-frequency vibration by mechanical impact of a spring-less structure. Our use of a spring-less structure eliminates the challenges of designing a practical and reliable low-frequency (<5Hz) oscillator. Our low-frequency oscillator couples the human-body-induced vibration to two high-frequency oscillators (electromagnetic transducer elements). Each high-frequency oscillator consists of the analyzed 2-magnet stack and customized helical compression spring. We fabricated a standard AAA battery sized prototype (3.9cm<SUP>3</SUP>) and tested it with different human activities. We were able to generate a maximum 203μW, 32μW, and 78μW average power from hand-shaking, walking, and slow running motion, respectively. This miniaturized structure yields a maximum average power density of 52μWcm<SUP>−3</SUP>. We used a rectifier and multiplier circuit as the interface between the harvester and a wearable electronic load (wrist watch) to demonstrate the feasibility and capability of powering small-scale electronic systems from human-body vibration.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A human-motion driven miniaturized EM energy harvester using flux-guided magnet stacks. </LI> <LI> Flux-guided magnet stack increases the power density more than three times. </LI> <LI> Capable of driving wearable electronics through efficient power conditioning circuitry. </LI> </UL> </P>
Halim, Miah Abdul,Kim, Dae Heum,Park, Jae Yeong The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.3
We present a piezoelectric energy harvester with stopper-engaged dynamic magnifier which is capable of significantly increasing the operating bandwidth and the energy (power) harvested from a broad range of low frequency vibrations (<30 Hz). It uses a mass-loaded polymer beam (primary spring-mass system) that works as a dynamic magnifier for another mass-loaded piezoelectric beam (secondary spring-mass system) clamped on primary mass, constituting a two-degree-of-freedom (2-DOF) system. Use of polymer (polycarbonate) as the primary beam allows the harvester not only to respond to low frequency vibrations but also generates high impulsive force while the primary mass engages the base stopper. Upon excitation, the dynamic magnifier causes mechanical impact on the base stopper and transfers a secondary shock (in the form of impulsive force) to the energy harvesting element resulting in an increased strain in it and triggers nonlinear frequency up-conversion mechanism. Therefore, it generates almost four times larger average power and exhibits over 250% wider half-power bandwidth than those of its conventional 2-DOF counterpart (without stopper). Experimental results indicate that the proposed device is highly applicable to vibration energy harvesting in automobiles.
입력 센서 개수가 다른 전신 자세 생성 방법과 Embodiment 사용성 평가
여하림(Halim Yeo),박경주(Kyoungju Park) 한국HCI학회 2024 한국HCI학회 학술대회 Vol.2024 No.1
요약문가상현실에서 전신 자세를 구현하는 것은 embodiment 에 도움이 된다. 본 논문은 가상현실(VR)에서 아바타를 생성할 때 세 개의 센서를 사용하여 Inverse Kinematics(IK)하는 방법과 여섯 개의 센서를 사용하여 IK 를 하는 방법을 소개하고, 그 두 방법을 사용한 VR 아바타의 embodiment 에 대한 사용성 평가를 한다. 두 방법으로 구현된 아바타 사이의 유의미한 차이는 없지만 전반적인 설문지 결과와 사후 설문 조사를 통해서 참가자들이 여섯개의 센서 정보로 생성된 아바타를 더 선호하는 것을 알 수 있습니다.
Miah Abdul Halim,Dae Heum Kim,Jae Yeong Park 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.3
We present a piezoelectric energy harvester with stopper-engaged dynamic magnifier which is capable of significantly increasing the operating bandwidth and the energy (power) harvested from a broad range of low frequency vibrations (<30 Hz). It uses a mass-loaded polymer beam (primary spring-mass system) that works as a dynamic magnifier for another mass-loaded piezoelectric beam (secondary spring-mass system) clamped on primary mass, constituting a two-degree-of-freedom (2-DOF) system. Use of polymer (polycarbonate) as the primary beam allows the harvester not only to respond to low frequency vibrations but also generates high impulsive force while the primary mass engages the base stopper. Upon excitation, the dynamic magnifier causes mechanical impact on the base stopper and transfers a secondary shock (in the form of impulsive force) to the energy harvesting element resulting in an increased strain in it and triggers nonlinear frequency up-conversion mechanism. Therefore, it generates almost four times larger average power and exhibits over 250% wider half-power bandwidth than those of its conventional 2-DOF counterpart (without stopper). Experimental results indicate that the proposed device is highly applicable to vibration energy harvesting in automobiles.